关键词 红外目标检测, 核主成分分析, Adaboost分类器, 帧检测精度,[gap=1203]Key words infrared targets detection, KPCA, Adaboost classifier, frame detection accuracy(FDA), ..
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Detection of dim small targets in infrared images was addressed.
探讨了红外图像中的弱小目标检测问题。
Detection of the infrared point targets is discussed.
讨论了红外图像点目标的检测问题。
Two features detection algorithm based on the wavelet transform modulus maxima and its phase angle is presented, to resolve the problem of weak infrared point targets detection.
为解决强杂波中红外弱点目标的检测问题,提出了基于小波变换模极值及其位相值的双特征检测算法。
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